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Product Manager, Health Plans

Job in New York, New York County, New York, 10261, USA
Listing for: H1
Full Time position
Listed on 2026-09-14
Job specializations:
  • Business
    Business Analyst, Business Systems & Technology Analysis, AI Business & Operations, Data Analyst
Salary/Wage Range or Industry Benchmark: 105000 - 135000 USD Yearly USD 105000.00 135000.00 YEAR
Job Description & How to Apply Below

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle.

Visit  to learn more about us.

About the team

H1's Health Plans team is building the data infrastructure and product intelligence that connects payers with the provider and clinical data that powers their most critical decisions — network management, utilization review, quality measurement, and member navigation. This Product Manager role sits at the intersection of payer operations, provider data, and H1's core HCP intelligence platform, reporting directly to the Head of Health Plans Product.

What

you'll do at H1

As Product Manager, Health Plans, you will own the roadmap and execution for H1's health plans product surface — working closely with payer clients, data science, engineering, and commercial teams to define what we build and ensure it delivers measurable value for health plan stakeholders.

  • Own the product roadmap for H1's health plans product suite — prioritizing features that improve network management, provider directory accuracy, utilization analytics, and quality measurement for payer clients

  • Conduct ongoing discovery with health plan stakeholders — network managers, provider data management teams, and credentialing leads — to surface unmet needs and translate them into actionable product requirements

  • Partner with data science and engineering to improve provider data completeness, accuracy, and freshness in ways that are directly useful to payer workflows

  • Define success metrics and own reporting on adoption, data quality, and client satisfaction across the health plans product surface

  • Collaborate with commercial and customer success teams to ensure product investments support retention and expansion with health plan clients

  • Translate complex payer regulatory requirements — network adequacy,provider directory, credentialing — into clear, prioritized product decisions that engineering and design can execute

  • Track and communicate progress against roadmap and client commitments, flagging risks early and coordinating resolution across product, engineering, and commercial teams

  • Partner with solutions engineering and data delivery to document client-specific implementation needs and ensure they are reflected in the product roadmap

  • Run ad hoc analyses and validate data against payer-facing requirements using available tooling

  • Identify and address operational inefficiencies in the product development and delivery process, improving repeatability as the health plans client base grows

About you

You understand how health plans actually operate — their workflows, their data needs, and what a useful provider directory or network analytics tool looks like in practice. You've built or materially improved data products in a payer or health plan context and know how to make tradeoffs between coverage, freshness, and regulatory accuracy. You lead with curiosity and bring structured thinking to ambiguous problems.

  • Familiar with health plan workflows: network management, provider credentialing, network adequacy, utilization review or prior authorization operations

  • Experienced in B2B SaaS product management, with a track record on data-intensive or analytics platforms — not primarily UI and feature work

  • Comfortable with data quality and coverage tradeoffs in a product context — and able to make…

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